Gray Swan protects organizations from emerging AI security threats. As a Machine Learning Researcher, you will develop new approaches to adversarial testing and model evaluation, translating research ideas into scalable AI systems deployed in real-world settings.
Responsibilities:
- Design and develop novel ML approaches to adversarial testing, model evaluation, and robust inference
- Build and deploy ML models that meet real-world performance and scalability requirements
- Design experiments, analyze results empirically, and communicate findings through publications and internal research reports
- Develop and advance methodologies for controlling, monitoring, and analyzing ML models in production environments
- Translate research ideas into scalable AI systems deployed in real-world, adversarial settings
- Work closely with cross-functional teams to ensure research outcomes inform production systems